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Michal Koziarski
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2020 – today
- 2024
- [j14]Michal Koziarski, Michal Wozniak:
Local neighborhood encodings for imbalanced data classification. Mach. Learn. 113(10): 7421-7449 (2024) - [c17]Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. ICLR 2024 - [i17]Michal Koziarski, Mohammed Abukalam, Vedant Shah, Louis Vaillancourt, Doris Alexandra Schuetz, Moksh Jain, Almer van der Sloot
, Mathieu Bourgey, Anne Marinier, Yoshua Bengio:
Towards DNA-Encoded Library Generation with GFlowNets. CoRR abs/2404.10094 (2024) - [i16]Michal Koziarski, Andrei Rekesh, Dmytro Shevchuk, Almer van der Sloot
RGFN: Synthesizable Molecular Generation Using GFlowNets. CoRR abs/2406.08506 (2024) - [i15]Piotr Gainski, Michal Koziarski, Krzysztof Maziarz, Marwin H. S. Segler, Jacek Tabor, Marek Smieja:
RetroGFN: Diverse and Feasible Retrosynthesis using GFlowNets. CoRR abs/2406.18739 (2024) - [i14]Stephen Zhewen Lu, Ziqing Lu, Ehsan Hajiramezanali, Tommaso Biancalani, Yoshua Bengio, Gabriele Scalia, Michal Koziarski:
Cell Morphology-Guided Small Molecule Generation with GFlowNets. CoRR abs/2408.05196 (2024) - 2023
- [c16]Weronika Wegier
Optimized hybrid imbalanced data sampling for decision tree training. GECCO Companion 2023: 339-342 - [c15]Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja:
ChiENN: Embracing Molecular Chirality with Graph Neural Networks. ECML/PKDD (3) 2023: 36-52 - [i13]Piotr Gainski, Michal Koziarski, Jacek Tabor, Marek Smieja:
ChiENN: Embracing Molecular Chirality with Graph Neural Networks. CoRR abs/2307.02198 (2023) - [i12]Dominique Beaini, Shenyang Huang, Joao Alex Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michal Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Ioannis Koutis, Mirco Ravanelli, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew W. Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters:
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets. CoRR abs/2310.04292 (2023) - [i11]Alex Hernández-García, Alexandre Duval, Alexandra Volokhova, Yoshua Bengio, Divya Sharma, Pierre Luc Carrier, Michal Koziarski, Victor Schmidt:
Crystal-GFN: sampling crystals with desirable properties and constraints. CoRR abs/2310.04925 (2023) - [i10]Alexandra Volokhova, Michal Koziarski, Alex Hernández-García, Cheng-Hao Liu, Santiago Miret, Pablo Lemos, Luca A. Thiede, Zichao Yan, Alán Aspuru-Guzik
Towards equilibrium molecular conformation generation with GFlowNets. CoRR abs/2310.14782 (2023) - 2022
- [j13]Weronika Wegier
Multicriteria Classifier Ensemble Learning for Imbalanced Data. IEEE Access 10: 16807-16818 (2022) - 2021
- [j12]Michal Koziarski, Colin Bellinger, Michal Wozniak
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. Mach. Learn. 110(11): 3059-3093 (2021) - [j11]Michal Koziarski:
Potential Anchoring for imbalanced data classification. Pattern Recognit. 120: 108114 (2021) - [c14]Michal Koziarski, Colin Bellinger, Michal Wozniak
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. DSAA 2021: 1-2 - [c13]Michal Koziarski:
CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification. IJCNN 2021: 1-8 - [c12]Michal Koziarski:
Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification. IJCNN 2021: 1-8 - [i9]Michal Koziarski:
Potential Anchoring for imbalanced data classification. CoRR abs/2104.08548 (2021) - [i8]Michal Koziarski, Colin Bellinger, Michal Wozniak:
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification. CoRR abs/2105.04009 (2021) - [i7]Michal Koziarski, Boguslaw Cyganek, Boguslaw Olborski, Zbigniew Antosz, Marcin Zydak, Bogdan Kwolek, Pawel Wasowicz, Andrzej Bukala, Jakub Swadzba, Piotr Sitkowski:
DiagSet: a dataset for prostate cancer histopathological image classification. CoRR abs/2105.04014 (2021) - [i6]Michal Koziarski:
Imbalanced data preprocessing techniques utilizing local data characteristics. CoRR abs/2111.14120 (2021) - 2020
- [j10]Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek, Osman Nuri Koç, Alperen Kara:
A Study on Pattern Recognition with the Histograms of Oriented Gradients in Distorted and Noisy Images. J. Univers. Comput. Sci. 26(4): 454-478 (2020) - [j9]Michal Koziarski, Michal Wozniak
Combined Cleaning and Resampling algorithm for multi-class imbalanced data with label noise. Knowl. Based Syst. 204: 106223 (2020) - [j8]Michal Koziarski:
Radial-Based Undersampling for imbalanced data classification. Pattern Recognit. 102: 107262 (2020) - [j7]Bartosz Krawczyk
Radial-Based Oversampling for Multiclass Imbalanced Data Classification. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2818-2831 (2020) - [c11]Andrzej Bukala, Boguslaw Cyganek
Classification of Histopathological Images using Scale-Invariant Feature Transform. VISIGRAPP (5: VISAPP) 2020: 506-512 - [c10]Michal Koziarski, Boguslaw Cyganek
The Choice of Feature Representation in Small-Scale MobileNet-Based Imbalanced Image Recognition. VISIGRAPP (4: VISAPP) 2020: 633-638 - [i5]Michal Koziarski:
Two-Stage Resampling for Convolutional Neural Network Training in the Imbalanced Colorectal Cancer Image Classification. CoRR abs/2004.03332 (2020) - [i4]Michal Koziarski, Michal Wozniak, Bartosz Krawczyk:
Combined Cleaning and Resampling Algorithm for Multi-Class Imbalanced Data with Label Noise. CoRR abs/2004.03406 (2020) - [i3]Michal Koziarski:
CSMOUTE: Combined Synthetic Oversampling and Undersampling Technique for Imbalanced Data Classification. CoRR abs/2004.03409 (2020)
2010 – 2019
- 2019
- [j6]Michal Koziarski, Bartosz Krawczyk
Radial-Based oversampling for noisy imbalanced data classification. Neurocomputing 343: 19-33 (2019) - [c9]Michal Koziarski:
Radial-Based Undersampling Algorithm for Classification of Breast Cancer Histopathological Images Affected by Data Imbalance. CISP-BMEI 2019: 1-5 - [c8]Bogdan Kwolek
Breast Cancer Classification on Histopathological Images Affected by Data Imbalance Using Active Learning and Deep Convolutional Neural Network. ICANN (Workshop) 2019: 299-312 - [c7]Andrzej Bukala, Michal Koziarski, Boguslaw Cyganek
The Impact of Distortions on the Image Recognition with Histograms of Oriented Gradients. IP&C 2019: 166-178 - [i2]Michal Koziarski:
Radial-Based Undersampling for Imbalanced Data Classification. CoRR abs/1906.00452 (2019) - 2018
- [j5]Michal Koziarski, Boguslaw Cyganek
Impact of Low Resolution on Image Recognition with Deep Neural Networks: An Experimental Study. Int. J. Appl. Math. Comput. Sci. 28(4): 735-744 (2018) - [j4]Wojciech Maleika
A Multiresolution Grid Structure Applied to Seafloor Shape Modeling. ISPRS Int. J. Geo Inf. 7(3): 119 (2018) - [c6]Michal Koziarski, Bogdan Kwolek
Convolutional Neural Network-Based Classification of Histopathological Images Affected by Data Imbalance. FFER/DLPR@ICPR 2018: 1-11 - [c5]Michal Koziarski, Boguslaw Cyganek
Marine Snow Removal Using a Fully Convolutional 3D Neural Network Combined with an Adaptive Median Filter. CVAUI/IWCF/MIPPSNA@ICPR 2018: 16-25 - 2017
- [j3]Michal Koziarski, Michal Wozniak
CCR: A combined cleaning and resampling algorithm for imbalanced data classification. Int. J. Appl. Math. Comput. Sci. 27(4): 727-736 (2017) - [j2]Michal Koziarski, Boguslaw Cyganek
Image recognition with deep neural networks in presence of noise - Dealing with and taking advantage of distortions. Integr. Comput. Aided Eng. 24(4): 337-349 (2017) - [j1]Michal Koziarski
The deterministic subspace method for constructing classifier ensembles. Pattern Anal. Appl. 20(4): 981-990 (2017) - [c4]Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
Radial-Based Approach to Imbalanced Data Oversampling. HAIS 2017: 318-327 - [i1]Stanislaw Saganowski, Piotr Bródka, Michal Koziarski, Przemyslaw Kazienko:
Analysis of group evolution prediction in complex networks. CoRR abs/1711.01867 (2017) - 2016
- [c3]Michal Koziarski, Bartosz Krawczyk, Michal Wozniak
Forming Classifier Ensembles with Deterministic Feature Subspaces. FedCSIS 2016: 89-95 - [c2]Michal Koziarski, Boguslaw Cyganek:
Examination of the Deep Neural Networks in Classification of Distorted Signals. ICAISC (2) 2016: 680-688 - [c1]Michal Koziarski, Boguslaw Cyganek:
Deep Neural Image Denoising. ICCVG 2016: 163-173
Coauthor Index
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last updated on 2024-10-25 20:16 CEST by the dblp team
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